Omics Approaches, Technologies And Applications, 1st ed. 2018 Integrative Approaches For Understanding OMICS Data

This book is a concerted effort to put together the rapidly growing facets of biological data. It provides a platform for the readers to think about integrative approaches to solve complex biological problems. This fundamental book deals with the simplest concepts of omics to recent advancements in the field. The content is divided into seven chapters that provide insight into various omics approaches, omics technologies, and its applications. Each chapter delves into different molecular scales: genomics, transcriptomics, proteomics, and metabolomics. Further to provide a holistic view a chapter detailing microbiome has been included in the book. The sub-sections in the chapters is dedicated to introducing the various analytical tools such as next generation sequencing, chromatin immunoprecipitation, mass spectrometry, peptide mass fingerprinting, RNA Seq and NMR spectroscopy. It entails a chapter focused on the bioinformatics resources for analysis of the omics data. In summary, this comprehensive book emphasizes the recent advancements in the study of biomolecules spanning from DNA to metabolites.

Chapter 1. Introduction to omics.- Chapter 1.1.Background.- Chapter 1.2. Overview of omics.- Chapter 1.3. Overview of systems biology.- Chapter 1.4. Application of R language in omics analysis.- Chapter 2. Genomics.- Chapter 2.1. Introduction.- Chapter 2.2.The Human Genome Project.- Chapter 2.2.1.Mapping of the human genome.- Chapter 2.2.2. DNA sequencing.- Chapter 2.2.3. Genome Annotation.- Chapter 2.2.4. Genomic databases.- Chapter 2.3. Genomic variations.- Chapter 2.4. Functional Genomics.- Chapter 2.4.1. The ENCODE project.- Chapter 2.4.2. Gene expression profiling (DNA microarrays) .- Chapter 2.5. The Non-coding Genome.- Chapter 2.6. Comparative genomics.- Chapter 2.7. Epigenome and Epigenetics.- Chapter 2.7.1. DNA methylation.- Chapter 2.7.2. Histone modifications.- Chapter 2.7.3. Non-coding RNAs.- Chapter 2.7.4. Epigenetic mechanisms (X chromosome inactivation, Genomic imprinting).- Chapter 2.8. Genomic methods for studying complex diseases.- Chapter 2.8.1. GWAS.- Chapter 2.8.2. Next Generation Sequencing.- Chapter 2.8.3. Chromatin immunoprecipitation (ChIP) .- Chapter 2.8.4. Clinical genomics.- Chapter 3. Transcriptomics.- Chapter 3.1. RNA to transcriptome.- Chapter 3.1.1. Transcriptome and Transcriptomics.- Chapter 3.1.2. Principles of Transcriptomics.- Chapter 3.1.3. Technological approach to study Transcriptomes.- Chapter3.1.3.1. Serial/Cap analysis of gene expression.- Chapter 3.1.3.2. Expression Sequence Tag.- Chapter 3.1.3.3. Microarray.- Chapter 3.1.3.4. RNA-seq.- Chapter 3.2. Metatranscriptome.- Chapter 3.2.1. Gene activity diversity.- Chapter 3.2.2. Gene expression analysis.- Chapter 3.3. Applications.- Chapter 3.3.1. Disease profiling.- Chapter 3.3.2. Ecology.- Chapter 3.3.3. Evolution.- Chapter 3.3.4. Gene function annotation.- Chapter 4. Proteomics.- Chapter 4.1. Protein to proteome.- Chapter 4.1.1. Proteome and Proteomics.- Chapter 4.1.2. Principles of Proteomics.- Chapter 4.1.3. Technological approach to study Proteomes.- Chapter 4.1.3.1. Mass spectrometry.- Chapter 4.1.3.2. Peptide Mass Fingerprinting.- Chapter 4.2. Metaproteome.- Chapter 4.2.1. Protein activity diversity.- Chapter 4.2.2. Protein expression analysis.- Chapter 4.3. Applications.- Chapter 4.3.1. Biomarker discovery.- Chapter 4.3.2. Lead identification.- Chapter 4.3.3. Mapping interaction network.- Chapter 5. Metabolomics.- Chapter 5.1. Metabolites to metabolome.- Chapter 5.2. Data Resources for Metabolomics.- Chapter 5.2.1. EMBL-EBI.- Chapter 5.2.2. BRENDA.- Chapter 5.2.3. HMDD.- Chapter 5.2.4. Sabio RK.- Chapter 5.3. Computational approaches for Metabolomics analysis.- Chapter 5.3.1. Network analysis metabolic pathway integration.- Chapter 5.3.2. Flux analysis.- Chapter 5.4. Applications.- Chapter 6. Microbiome .- Chapter 6.1. Microbe to Microbiome.- Chapter 6.1.1. Soil Microbiome.- Chapter 6.1.2. Plant Microbiome.- Chapter 6.1.3. Marine Microbiome.- Chapter 6.1.4. Human Microbiome.- Chapter 6.2. Host-microbiome interactions.- Chapter 6.2.1. Bacteriome.- Chapter 6.2.2. Mycobiome. .- Chapter 6.2.3. Virome.- Chapter 6.3. Microbiome in health and disease.- Chapter 6.4. Shaping the microbiome.- Chapter 6.5. Sequencing technologies for studying microbiome.- Chapter 6.5.1. 454.- Chapter 6.5.2  .Illumina.- Chapter 6.5.3. SOLiD.- Chapter 6.5.4. Ion Torrent.- Chapter 6.5.5. PacBio.- Chapter 6.6. Future perspectives.- Chapter 6.6.1. Prebiotics.- Chapter 6.6.2. Personalized Medicine.- Chapter 7. Bioinformatics resources .- Chapter 7.1. Bioinformatics approaches in Genomics.- Chapter 7.1.1. Structural genomics.- Chapter 7.1.1.1. Genome sequence assembly.- Chapter 7.1.1.2. Genome annotation.- Chapter 7.1.1.3. Comparative genomics.- Chapter 7.1.2. Functional genomics.- Chapter 7.1.2.1. Sequence-based approaches.- Chapter 7.1.2.2. Microarray-based approaches.- Chapter 7.2. Bioinformatics approaches in Proteomics.- Chapter 7.2.1. Protein expression analysis.- Chapter 7.2.2. Post-translational modifications.- Chapter 7.2.3. Protein-protein interactions.- Chapter 7.3. Bioinformatics approaches in Transciptomics.- Chapter 7.4. Bioinformatics approaches in Metablomics.- Chapter 7.4.1. Metabolomics tools.- Chapter 7.4.2. Metabolomics software.

Dr. Preeti Arivaradarjan is Assistant Professor at Amity University, Noida, Uttar Pradesh, India. Previously, she had completed Ph.D. from School of Biological Sciences, Madurai Kamaraj University, Tamil Nadu, India. Her research inclination is towards the study of microbiome associated with pristine environments with a special interest for human oral microbiome. She has been conferred with various prestigious awards notably, Commonwealth Split-Site Doctoral Scholarship by Commonwealth Scholarship Commission in United Kingdom, Innovation in Scientific Pursuit for Inspired Research (INSPIRE) fellowship by Department of Science and Technology, Government of India, and gold medal for the best outgoing student of the year during master’s program by Sri Ramachandra University, Chennai, India. Furthermore, she is a member of Indian Science Congress Association and is serving as a reviewer for numerous international journals. She has also published a number of research articles in the peer-reviewed international journals and has authored book chapters.

Dr. Gauri Misra is currently working as Assistant Professor at Amity University, Noida (U.P.), India. Before joining Amity University, she has worked as Assistant Professor at Hygia Institute of Pharmaceutical Education and Research, Lucknow (U.P.), India. From 2010 to 2011, she worked as a postdoctoral fellow at CHUL Research Centre, Quebec, Canada. As a postdoctoral fellow, she worked towards understanding the role of androgen receptor in the growth and proliferation of breast cancer cells using various structural biology approaches. During her doctoral studies at the Central Drug Research Institute, Lucknow (U.P.), India, she made an innovative contribution towards understanding the structural and functional characterization of the Plasmodium falciparum proteins that are involved in the transit peptide-mediated pathway. Her research interests is in the field of pathogen biology and cancer. S

The book comprehensively and coherently reviews the various aspects of omics including genomics, transcriptomics, proteomics, and metabolomics

It skillfully intorduces the various omics tools including next generation sequencing, chromatin immunoprecipitation, mass spectrometry, peptide mass fingerprinting, RNA sequencing, and NMR spectroscopy

It also focuses on the various bioinformatics which are utilized tools for the analysis of the omics data